A high quality and small shadow size visual secret sharing scheme based on hybrid strategy for grayscale images

  • Authors:
  • T. Hoang Ngan Le;Chia-Chen Lin;Chin-Chen Chang;Hoai Bac Le

  • Affiliations:
  • Department of Computer Science, Natural Science University, 227 Nguyen Van Cu, District 5, HCMC, Viet Nam;Department of Computer Science and Information Management, Providence University, Taichung 433, Taiwan, ROC;Department of Information Engineering and Computer Science, Feng Chia University, Taichung 407, Taiwan, ROC and Department of Computer Science and Information Engineering, National Chung Cheng Uni ...;Department of Computer Science, Natural Science University, 227 Nguyen Van Cu, District 5, HCMC, Viet Nam

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2011

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Abstract

Many secret sharing schemes for digital images have been developed in recent decades. Traditional schemes typically must deal with the problem of computational complexity, and other visual secret sharing schemes come with a higher transmission cost and storage cost; that is, each shadow size is m times as big as the original secret image. The new (2,n) secret sharing scheme for grayscale images proposed in this paper is based a combination of acceptable image quality using block truncation coding (BTC), high compression ratio discrete wavelet transform (DWT) and good subjective performance of the vector quantization (VQ) technique. Experimental results confirm that our proposed scheme not only generates a high quality reconstructed original image but also generates small, random-like grayscale shadows.